'When More is Less: Designing for Attention in Mobile Context-Aware Computing'
Authors
Black, Darren ; Clemmensen, Nils Jakob
Term
4. term (INF10 - Master Thesis)
Education
Publication year
2006
Abstract
Denne afhandling undersøger, designer og evaluerer en kontekstbevidst løsning, der aktivt søger at fange brugerens opmærksomhed og guide indkøb. Vi udviklede en Context-Aware Shopping Trolley (CaST), som skal gøre dagligvareindkøb mindre komplekst. En kontekstbevidst løsning tilpasser sin hjælp til situationen, fx hvor kunden befinder sig i butikken og hvilke varer der skal findes. Som forarbejde gennemførte vi en etnometodologisk undersøgelse – systematiske observationer af hverdagspraksis – for at forstå, hvordan folk faktisk handler i supermarkeder. På baggrund af disse indsigter byggede vi CaST til at give relevante instruktioner og påmindelser undervejs. Vi evaluerede CaST over én uge i et Føtex-supermarked med 18 deltagere, fordelt i to grupper: CaST-brugere og shoppere med indkøbsseddel. Resultaterne viser, at CaST understøtter indkøb ved at: - reducere den distance CaST-brugere gik i butikken, sammenlignet med seddel-brugere, - få CaST-brugere til generelt at samle varerne i en mere ensartet rækkefølge, - sænke den oplevede mentale arbejdsbelastning hos CaST-brugere. Samlet peger evalueringen på, at CaST reducerer kompleksiteten ved indkøbsopgaven.
This thesis investigates, designs, and evaluates a context-aware system that actively seeks user attention to guide shopping. We built a Context-Aware Shopping Trolley (CaST) to reduce the complexity of grocery shopping. A context-aware system adapts its support to the situation, such as the shopper’s location in the store and the items to find. As groundwork, we conducted an ethnomethodological study—systematic observation of everyday behavior—to understand how people actually shop in supermarkets. Based on these insights, we designed CaST to provide timely guidance and prompts. We evaluated CaST over one week in a Føtex supermarket with 18 participants split into two groups: CaST users and shoppers using a traditional list. The results show that CaST supports shopping by: - reducing the distance CaST users walked compared with list users, - helping CaST users collect products in a more consistent order, - lowering CaST users’ reported mental workload. Overall, the evaluation indicates that CaST reduces the complexity of the shopping task.
[This abstract was generated with the help of AI]
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